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Image processing based eye detection methods a theoretical review

  • B. Vijayalaxmi
  • , Chavali Anuradha
  • , Kaushik Sekaran
  • , Maytham N. Meqdad
  • , Seifedine Kadry
  • Jawaharlal Nehru Technological University Hyderabad
  • Al-Mustaqbal University College
  • Beirut Arab University

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Lately, many of the road accidents have been attributed to the driver stupor. Statistics revealed that about 32% of the drivers who met with such accidents demonstrated the symptoms of tiredness before the mishap though at vary ing levels. The purpose of this research paper is to revisit the various interventions that have been devised to provide for assistance to the vehicle users to avert unwarranted contingencies on the roads. The paper tries to make a sincere attempt to encapsulate the body of work that has been initiated so far in this direction. As is evident, there are numerous ways in which one can identify the fatigue of the driver, namely biotic or physiological gauges, vehicle type and more importantly the analysis of the face in terms of its alignment and other attributes.

Original languageEnglish
Pages (from-to)1189-1197
Number of pages9
JournalBulletin of Electrical Engineering and Informatics
Volume9
Issue number3
DOIs
StatePublished - Jun 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Driver behavior
  • Eye detection
  • Face detection
  • Fatigue Skin

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